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Toni Bollinger

dblp:46/4446 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 2 first-authorDatabases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorTheory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Logic in computer science · 62% Automated reasoning and model checking · 38%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
data mining system		 0.011996
The Quest Data Mining System · KDD 1996
Logic in computer science › knowledge representation and reasoning
description logic		 0.011992
An Order-Sorted Logic with Sort Literals and Disjointness Constraints · KR 1992
Logic in computer science › first-order logic
order-sorted logic		 0.011992
An Order-Sorted Logic with Sort Literals and Disjointness Constraints · KR 1992
Automated reasoning and model checking › theorem proving › resolution theorem proving
model elimination		 0.011991
A Model Elimination Calculus for Generalized Clauses · IJCAI 1991
Logic in computer science
proof theory		 0.011991
A Model Elimination Calculus for Generalized Clauses · IJCAI 1991
Automated reasoning and model checking
theorem proving		 0.011991
A Model Elimination Calculus for Generalized Clauses · IJCAI 1991

Methods — techniques the papers use, named apart from their topics

model elimination calculus · 0.0
YearPublicationVenuePosition
2004 Grid-based Data Mining in Real-life Business Scenario
abstract
This paper presents a Grid-based distributed and parallel data mining system targeting a real-life application scenario typical in the business realm - franchise supermarket basket analysis. Following a layered design of three tiers, this system enables parallel association rule mining on a farm of Grid servers, offers a standard service interface for custom applications, and provides a friendly user portal. The work presented in this paper reveals specific requirements for applying Grid-based data mining in the business realm, which is helpful for the design and implementation of a generic Grid-based data mining system.
Tianchao Li 0001, Toni Bollinger, Nikolaus Breuer, Hans-Dieter Wehle
 Web Intelligence2
1996 The Quest Data Mining System
Rakesh Agrawal 0001, Manish Mehta 0002, John C. Shafer, Ramakrishnan Srikant, Andreas Arning, Toni Bollinger
 KDD6
1992 An Order-Sorted Logic with Sort Literals and Disjointness Constraints
Toni Bollinger, Udo Pletat
 KR1
1991 A Model Elimination Calculus for Generalized Clauses
Toni Bollinger
 IJCAI1
1984 Careful Generalization for Concept Learning
Yves Kodratoff, Jean-Gabriel Ganascia, B. Clavieras, Toni Bollinger, Gheorghe Tecuci
 ECAI4